PyCon Sweden 2025

Python in the age of Agents
2025-10-31 , Auditorium

Python is gaining ground in AI - it is now the language of both AI engineering and the language of agents. But is it losing ground as the language of programmers? Python made its name as the programming language that minimizes the impedance mismatch with natural language. However, with coding agents, it is now possible to go from natural language to working Python code. Where do we go from here?

I will place the evolution of coding agents in the history of programming language development. We will see that LLMs are more than just compilers that translate natural language into programs. I will also talk about the return of the waterfall lifecycle development process.

I will also talk about the effect of agents on developers. How are coding agents being received by developers? I will talk about three types of developers: those who supercharge their coding with agents, those who feel threatened by them, and those who weren’t developers but now are developers.

Finally, I will talk about developing agents. From model context protocol to application context protocol. Building AI systems has never been easier or more fun.


Python is gaining ground in AI - it is now the language of both AI engineering and the language of agents. But is it losing ground as the language of programmers? Python made its name as the programming language that minimizes the impedance mismatch with natural language. However, with coding agents, it is now possible to go from natural language to working Python code. Where do we go from here?

I will place the evolution of coding agents in the history of programming language development. We will see that LLMs are more than just compilers that translate natural language into programs. I will also talk about the return of the waterfall lifecycle development process.

I will also talk about the effect of agents on developers. How are coding agents being received by developers? I will talk about three types of developers: those who supercharge their coding with agents, those who feel threatened by them, and those who weren’t developers but now are developers.

Finally, I will talk about developing agents. From model context protocol to application context protocol. Building AI systems has never been easier or more fun.

Jim Dowling is CEO and co-founder of Hopsworks. Previously, he worked at MySQL, as an Associate Professor at KTH, and as a senior researcher at RISE. He is the organizer of the annual feature store summit and he has authored a book for O'Reilly on Building ML Systems with a Feature Store.